267 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in Australia
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Field
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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biological networks as a form of relational and structural learning. Given a network dataset, we wish to infer a model of the distribution of the elements of this data-set, possibly as a mixture of several
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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature
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discovery. While deep generative models have shown promise in proposing novel molecular structures, they typically require massive, cleanly labelled datasets to train effectively. In practice, acquiring high
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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networks so that they can accurately identify anomalies in the presence of concept drift. We would like to consider different types of changes in graph structures, such as emergence/deletion of new nodes
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identified the structural and personal challenges these women experienced during their time at university. The study highlighted the importance of gender as a key influence on their progress. It also revealed
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For over a century, X-rays have been used to visualise the internal structure of opaque objects, driving major breakthroughs in healthcare, industry, and scientific research. Conventional X-ray
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markers of lesion location and size and subsequent function. More recently there has been increasing interest in both structural and functional connectivity approaches in understanding stroke recovery (1, 2
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substantial research project, GPA 80%+ from a reputed university Refereed publications including journal or conference of high repute Desirable Background in Algorithms and Data Structures